Systems Engineer
Location: Austin, TXPosted On: 05/12/2026
Requirement Code: 73689
Requirement Detail
Summary
· Hardware validation role focused on performance validation of next generation AMD server architecture and AI accelerators.
Education
· Bachelors degree is required for candidates.
Location
· Hybrid onsite (3 days a week minimum) is required.
Day to Day Responsibilities
· Analyzing benchmarks and performance key performance metrics of next generation AMD servers and AI accelerators.
· Research trade-offs for our server architecture, especially as related to the memory hierarchy, storage systems, scheduling, and I/O devices.
· Collect data from benchmark results, data from CPU performance counters, and other related performance information to identify bottlenecks and other performance limitations of the benchmark itself, SoC and system.
· Evaluate system performance by executing industry standard benchmarks.
· Thorough understanding of OS fundamentals and how they impact Performance of a system.
Required Experience
· Experience using Linux performance analysis tools and methods.
· Experience executing industry standard benchmarks or other performance test workloads.
· Test automation experience.
· Highly motivated independent contributor with a strong desire to learn and develop a deep understanding of the technology.
· Understanding of computer system architecture.
· Programming/scripting skills (e.g. C/C++. BASH, Python, etc).
· Experience using AI tools like Claude, Copilot and more.
· Communicates and collaborates well with others.
· Experience with PCIe testing and hardware validation.
Preferred Experience
· Experience with benchmarks such as STREAM, multichase, SPECCPU2017, HPL, DGEMM, GUPS, SPECJbb and others.
· Experience with I/O benchmarks and tools such as Infiniband, iPerf3, FIO and others.
· Experience benchmarking memory technologies such as DDR5, CXL, HBM and others.
· Experience benchmarking AI products and using various LLM benchmarks.
· Competitive analysis as it relates to server architectures and AI workloads.